/*
 * Licensed to the Apache Software Foundation (ASF) under one
 * or more contributor license agreements.  See the NOTICE file
 * distributed with this work for additional information
 * regarding copyright ownership.  The ASF licenses this file
 * to you under the Apache License, Version 2.0 (the
 * "License"); you may not use this file except in compliance
 * with the License.  You may obtain a copy of the License at
 *
 *     http://www.apache.org/licenses/LICENSE-2.0
 *
 * Unless required by applicable law or agreed to in writing, software
 * distributed under the License is distributed on an "AS IS" BASIS,
 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 * See the License for the specific language governing permissions and
 * limitations under the License.
 */

package fq.simple;

import org.apache.flink.streaming.api.datastream.DataStream;
import org.apache.flink.streaming.api.datastream.DataStreamSource;
import org.apache.flink.streaming.api.environment.StreamExecutionEnvironment;

import java.util.ArrayList;
import java.util.Date;
import java.util.List;

/**
 * Skeleton code for the datastream walkthrough
 */
public class FraudDetectionJob {

	public static void main(String[] args) throws Exception {
		StreamExecutionEnvironment env = StreamExecutionEnvironment.getExecutionEnvironment();

		List<Obj> list = new ArrayList<>();
		for (int i = 0; i < 10; i++) {
			list.add(new Obj(1L + i/4, "a", i, new Date()));
		}


		DataStreamSource<Obj> myData = env.fromElements(list.toArray(new Obj[]{}));

		DataStream<SinkObj> alerts = myData
			.keyBy(Obj::getId)
			.process(new FraudDetector())
			.name("fraud-detector");

		alerts
			.addSink(new MySink())
			.name("send-alerts");

		env.execute("Fraud Detection");
	}
}
